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Using Frequency Attention to Make Adversarial Patch Powerful Against
  Person Detector

Using Frequency Attention to Make Adversarial Patch Powerful Against Person Detector

10 May 2022
Xiaochun Lei
Chang Lu
Zetao Jiang
Zhaoting Gong
Xiang Cai
Linjun Lu
    AAML
ArXivPDFHTML

Papers citing "Using Frequency Attention to Make Adversarial Patch Powerful Against Person Detector"

4 / 4 papers shown
Title
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object
  Detectors
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
30
1
0
14 Oct 2024
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
140
161
0
10 Sep 2019
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
77
221
0
30 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
1